Faculty of Information Technology, BUT

Publication Details

Speaker vectors from Subspace Gaussian Mixture Model as complementary features for Language Identification

PLCHOT Oldřich, KARAFIÁT Martin, BRUMMER Niko, GLEMBEK Ondřej, MATĚJKA Pavel, DE Villiers Edward and ČERNOCKÝ Jan. Speaker vectors from Subspace Gaussian Mixture Model as complementary features for Language Identification. In: Proceedings of Odyssey 2012, The Speaker and Language Recognition Workshop. Singapur: International Speech Communication Association, 2012, pp. 330-333. ISBN 978-981-07-3093-2.
Czech title
Adaptační vektory mluvčího ze Subspace Gaussian Mixture modelu jako komplementární příznaky pro identifikaci jazyka
Type
conference paper
Language
english
Authors
Plchot Oldřich, Ing., Ph.D. (DCGM FIT BUT)
Karafiát Martin, Ing., Ph.D. (DCGM FIT BUT)
Brummer Niko (Agnitio)
Glembek Ondřej, Ing., Ph.D. (DCGM FIT BUT)
Matějka Pavel, Ing., Ph.D. (DCGM FIT BUT)
de Villiers Edward (Agnitio)
Černocký Jan, doc. Dr. Ing. (DCGM FIT BUT)
URL
Keywords
speaker recognition, Gaussian Mixture Model, speaker vectors, language identification
Abstract
In this paper we have presented new features for language identification, based on speaker adaptation vectors from sub-space Gaussian Mixture Models.
Annotation
In this paper, we explore new high-level features for language identification. The recently introduced Subspace Gaussian Mixture Models (SGMM) provide an elegant and efficient way for GMM acoustic modelling, with mean supervectors represented in a low-dimensional representative subspace. SGMMs also provide an efficient way of speaker adaptation by means of lowdimensional vectors. In our framework, these vectors are used as features for language identification. They are compared with our acoustic iVector system, which architecture is currently considered state-of-the-art for Language Identification and Speaker Verification. The results of both systems and their fusion are reported on the NIST LRE2009 dataset.
Published
2012
Pages
330-333
Proceedings
Proceedings of Odyssey 2012, The Speaker and Language Recognition Workshop
Conference
Odyssey 2012: The Speaker and Language Recognition Workshop, Singapur, SG
ISBN
978-981-07-3093-2
Publisher
International Speech Communication Association
Place
Singapur, SG
BibTeX
@INPROCEEDINGS{FITPUB10056,
   author = "Old\v{r}ich Plchot and Martin Karafi\'{a}t and Niko Brummer and Ond\v{r}ej Glembek and Pavel Mat\v{e}jka and Edward Villiers de and Jan \v{C}ernock\'{y}",
   title = "Speaker vectors from Subspace Gaussian Mixture Model as complementary features for Language Identification",
   pages = "330--333",
   booktitle = "Proceedings of Odyssey 2012, The Speaker and Language Recognition Workshop",
   year = 2012,
   location = "Singapur, SG",
   publisher = "International Speech Communication Association",
   ISBN = "978-981-07-3093-2",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/10056"
}
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